Data Housing

December 10, 2016 | Author: Amanya Allan | Category: N/A
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Amity Campus Uttar Pradesh India 201303

ASS IGNMENTS PROGRAM: BSc IT SEMESTER-VI Subject Name

: Data

Warehousing and Mining

Study COUNTRY Roll Number (Reg.No.) 2012059

: UGANDA BSCIT01152009-

Student Name

:NAJJITA LILIAN

INSTRUCTIONS a) Students are required to submit submit all three assignment sets. ASSIGNMENT

DETAILS

MARK   S

Assignment A Five Subjective Questions

10

Assi Assign gnme ment nt B Thre Three e Subj Subjec ecti tive ve Que Quest stio ions ns + Case Study

10

Assi Assign gnme ment nt C Objec Objecti tive ve or one one line line

10

Questions b)Total weight age given to these assignments is 30%. OR 30 Marks c) All assignments are to be completed as typed in word/pdf. d)All questions are required to be attempted. e) All the three assignments are to be completed by due dates and need to be submitted for evaluation by Amity University. f) The students have to attach a scan signature in the form.

Signature

:

________

__________________________

Date

:

_11/06/2012________________________________

( √ ) Tick mark in front of the assignments submitted Assignmen ‘A’

Assignment ‘B’

Assignment ‘C’

Data Warehousing and Mining

Assignment A Q1. Discuss various types of concept hierarchies by providing two examples for

each type? Schema hierarchies Schema hierarchy is the total or partial order among attributes in the database schema. It may formally express existing semantic relationships between attributes and Provides metadata information. Example: location hierarchy street < city < province/state < country Set-grouping hierarchies It organizes values for a given attribute into groups or sets or range of values. Total or partial order can be defined among groups. It is used to refine or enrich schema-defined hierarchies. It is typically used for small sets of object relationships.

Example: Set-grouping hierarchy for age {young, middle_aged, senior} all (age) {20….29} young {40….59} middle_aged {60….89} senior Operation-derived hierarchies It is operation-derived and based on operations specified .Its operations may include decoding of information-encoded strings, information extraction from complex data objects and data clustering. Example: URL or email address [email protected] gives login name < dept. < univ. < country Rule-based hierarchies Rule-based occurs when either whole or portion of a concept hierarchy is defined as a set of rules and is evaluated dynamically based on current database data and rule definition Example: Following rules are used to categorize items as low_profit, medium_profit and high_profit_margin. low_profit_margin(X)
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